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Milad Sikaroudi
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2020 – today
- 2023
- [j2]Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie
, Hamid R. Tizhoosh
Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images. IEEE Trans. Medical Imaging 42(7): 1982-1995 (2023) - [c9]Milad Sikaroudi, Seyedeh Maryam Hosseini, Shahryar Rahnamayan, Hamid R. Tizhoosh:
ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals. ICCV (Workshops) 2023: 2656-2665 - [i10]Milad Sikaroudi, Mehdi Afshari, Abubakr Shafique, Shivam Kalra, Hamid R. Tizhoosh
Comments on 'Fast and scalable search of whole-slide images via self-supervised deep learning'. CoRR abs/2304.08297 (2023) - [i9]Milad Sikaroudi, Seyedeh Maryam Hosseini, Shahryar Rahnamayan, Hamid R. Tizhoosh:
ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals. CoRR abs/2308.03936 (2023) - 2022
- [c8]Milad Sikaroudi, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Hospital-Agnostic Image Representation Learning in Digital Pathology. EMBC 2022: 3055-3058 - [c7]Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh:
Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images. DeCaF/FAIR@MICCAI 2022: 110-118 - [i8]Milad Sikaroudi, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Hospital-Agnostic Image Representation Learning in Digital Pathology. CoRR abs/2204.02404 (2022) - [i7]Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh:
Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images. CoRR abs/2208.10919 (2022) - 2021
- [j1]Abtin Riasatian, Morteza Babaie, Danial Maleki, Shivam Kalra, Mojtaba Valipour, Sobhan Hemati, Manit Zaveri
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. Medical Image Anal. 70: 102032 (2021) - [c6]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Magnification Generalization For Histopathology Image Embedding. ISBI 2021: 1864-1868 - [i6]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Magnification Generalization for Histopathology Image Embedding. CoRR abs/2101.07757 (2021) - 2020
- [c5]Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. EMBC 2020: 1400-1403 - [c4]Benyamin Ghojogh
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. ICIAR (2) 2020: 3-15 - [c3]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. ICPR 2020: 7080-7086 - [c2]Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. IJCNN 2020: 1-7 - [c1]Milad Sikaroudi
Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. ISVC (1) 2020: 333-345 - [i5]Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. CoRR abs/2004.01857 (2020) - [i4]Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. CoRR abs/2004.04674 (2020) - [i3]Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. CoRR abs/2005.08629 (2020) - [i2]Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches. CoRR abs/2007.02200 (2020) - [i1]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. CoRR abs/2007.05610 (2020)
Coauthor Index
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